Computational Linguist

Turkish Freelance Computational Linguist – Speech Transcription & Annotation We are recruiting an experienced linguist to support a multilingual AI data project focused on speech transcription and annotation. This is a remote, freelance, project-based opportunity. Availability: min 5 hours per week Project duration: ongoing Compensation: $30 Per Hour The work may include: Produce high-quality, verbatim transcriptions while strictly adhering to all transcription conventions, formatting standards, and project-specific guidelines. Accurately transcribe and annotate complex audio recordings, including overlapping speech, background noise, multiple speakers, varying accents, fast-paced conversations, and inconsistent audio quality. Review and follow detailed annotation guidelines with precision. Accurately tag and annotate audio according to project requirements, including speaker segmentation, speaker count, speaker attributes, timestamps (where applicable), and all other required metadata. Evaluate each task and assign the appropriate status (e.g., Complete or Discard) in accordance with project guidelines. For discarded tasks, provide the appropriate discard reason. Conduct thorough self-reviews to ensure accuracy, consistency, completeness, and full compliance with all project requirements before submission. Consistently meet productivity, quality, and turnaround time targets while maintaining a high level of accuracy. We’re looking for: Idiomatic fluency in Turkish, with excellent knowledge of its grammar, orthography, and regional variation Advanced English comprehension and communication skills; Degree in linguistics, computational linguistics, language technology, phonetics, NLP, or a related field Experience with speech data, transcription, linguistic annotation, ASR evaluation, or language-data quality assurance Ability to interpret detailed guidelines and turn ambiguous cases into clear, consistent decisions Excellent analytical, written communication, and documentation skills Familiarity with annotation platforms or language-data projects is preferred Interested? • Click Here to Apply Select Project - "Audio Transcription AZ 32600 July 2026"